Assessing the impact of nodule features and software algorithm on pulmonary nodule measurement uncertainty for nodules sized 20 mm or less.
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| Title: | Assessing the impact of nodule features and software algorithm on pulmonary nodule measurement uncertainty for nodules sized 20 mm or less. |
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| Authors: | Jirapatnakul A; Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Yip R; Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Myers KJ; Puente Solutions LLC, Phoenix, AZ, USA., Cai S; Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Henschke CI; Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Yankelevitz D; Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. |
| Source: | Quantitative imaging in medicine and surgery [Quant Imaging Med Surg] 2024 Jul 01; Vol. 14 (7), pp. 5057-5071. Date of Electronic Publication: 2024 Jun 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: AME Pub Country of Publication: China NLM ID: 101577942 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2223-4292 (Print) Linking ISSN: 22234306 NLM ISO Abbreviation: Quant Imaging Med Surg Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2223-4292 |
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| DOI: | 10.21037/qims-23-1501 |
